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of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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Position Summary The Seáñez Lab is seeking a postdoc to work on a project aimed the development of spatiotemporal control of non-invasive stimulation to restore movement in spinal cord injury
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goal-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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- the changes occurring in Multiple Myeloma and Myelodysplasia. What is expected: Bioinformatic analysis (depending on the experience of the candidate): (i) support in the implementation and/or development
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. In this context, the CNRS (UMR5175 Centre d'Ecologie Fonctionnelle et Evolutive) is collaborating with SNCF-Réseau and EGIS to carry out research work enabling a rigorous and quantitative assessment
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to be fast in practice, but the framework of worst-case analysis is unable to explain this observation. Different analysis frameworks have been proposed to explain the good performance of the algorithm
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of RforMassSpectrometry-based data analysis workflows and functionality into Galaxy. Improve interoperability of MS-related data analysis software and libraries. Help planning, organizing and leading a project-related
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 4 hours ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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Position Summary The Seáñez Lab is seeking a postdoc to work on a project aimed at understanding changes in neural excitability induced by spinal cord stimulation and motor learning